Row-Parallel DRAM Computing Cuts Data-Reorganization Overhead (Syracuse, FAU, TU Dresden)

<p>Researchers at Syracuse University, Friedrich-Alexander-Universität Erlangen-Nürnberg, and TU Dresden published a technical paper titled “RAPID: Row-Parallel Arithmetic Processing in DRAM.” Abstract Excerpt: “Processing-using-memory (PUM) architectures perform computation directly within DRAM to reduce costly data movement between memory and processors. Because charge-sharing operations are confined to individual bitlines, existing DRAM-PUM architectures reorganize data into column-oriented, bit-serial... <a class="read_more" href="https://semiengineering.com/row-parallel-dram-computing-cuts-data-reorganization-overhead-syracuse-fau-tu-dresden/">&#187; read more</a></p> <p>The post <a href="https://semiengineering.com/row-parallel-dram-computing-cuts-data-reorganization-overhead-syracuse-fau-tu-dresden/">Row-Parallel DRAM Computing Cuts Data-Reorganization Overhead (Syracuse, FAU, TU Dresden)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>